ERIC Number: ED123515
Record Type: RIE
Publication Date: 1975-Oct-29
Reference Count: 0
Use of Q-Type Factor Analysis with the Aged.
Kleban, Morton H.; And Others
This paper explores Q-Factor Analysis as a method of organizing data on a large array of variables to describe a group of aged Ss. Forty-seven males, specially selected for their good health (Mean Age: 71.5; SD: 4.8) were measured on 550 biological and behavioral variables. A Q-Factor Analysis was calculated, using a S by variable matrix, which is the transpose of the common R-Factor Analysis. Sixteen Q-Factors resulted which were then correlated with the original variables so as to give content meaning to each factor. Seven of the 16 derived O's were associated with verbal intelligence performance. The content of the factors offered a means of describing each S's characteristic functioning. Since the results are extensive, only results on the first Q-Factor were reported. An analysis showed the Ss to be distributed between "haves" and "have nots" in relation to physical and mental well-being. Thus, the"haves" were more intelligent, better adjusted, younger, happier, faster reacting, with better hearing, and healthier. The "have nots" showed evidence of early CNS deterioration. It was concluded that Q-Factor Analysis provides factors through which the individual in a group of aged Ss can be described, thus condensing a large body of data. Analysis of the first factor showed how the Ss can be grouped with specific differentiating characteristics. (Author)
Publication Type: Reports - Research
Education Level: N/A
Sponsor: National Inst. of Mental Health (DHEW), Bethesda, MD.
Authoring Institution: N/A
Note: Paper presented at the Annual Meeting of the Gerontological Society (28th, Louisville, Kentucky, October 26-30, 1975)